A fast surrogate-assisted particle swarm optimization algorithm for computationally expensive problems

Fan Li; Weiming Shen; Xiwen Cai; Liang Gao; G. Gary Wang

doi:10.1016/j.asoc.2020.106303

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A fast surrogate-assisted particle swarm optimization algorithm for computationally expensive problems

Fan Li Weiming Shen Xiwen Cai Liang Gao G. Gary Wang

Year: 2020 Journal: Applied Soft Computing Vol: 92 Pages: 106303-106303 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2020.106303

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Keywords:

Benchmark (surveying) Computer science Particle swarm optimization Mathematical optimization Surrogate model Evolutionary algorithm Algorithm Convergence (economics) Fitness function Dimension (graph theory) Genetic algorithm Mathematics

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Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Evolutionary Algorithms and Applications

Physical Sciences → Computer Science → Artificial Intelligence

A fast surrogate-assisted particle swarm optimization algorithm for computationally expensive problems

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